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An Automated System for Criminal Police Reports Analysis

2019-04-10Conference paper Open access
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
dc.contributor.authorCarnaz, Gonçalo
dc.contributor.authorNogueira, Vitor B.
dc.contributor.authorAntunes, Mário
dc.contributor.authorFerreira, Nuno
dc.date.accessioned2025-10-21T15:48:46Z
dc.date.available2025-10-21T15:48:46Z
dc.date.issued2019-04-10
dc.descriptionEISBN - 9783030170653
dc.descriptionConference name - 10th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2018; Conference date - 13 December 2018 - 15 December 2018; Conference code - 225239
dc.description.abstractInformation Extraction (IE) and fusion are complex fields and have been useful in several domains to deal with heterogeneous data sources. Criminal police are challenged in forensics activities with the extraction, processing and interpretation of numerous documents from different types and with distinct formats (templates), such as narrative criminal reports, police databases and the result of OSINT activities, just to mention a few. Such challenges suggest, among others, to cope with and manually connect some hard to interpret meanings, such as license plates, addresses, names, slang and figures of speech. This paper aims to deal with forensic IE and fusion, thus a system was proposed to automatically extract, transform, clean, load and connect police reports that arrived from different sources. The same system aims to help police investigators to identify and correlate interesting extracted entities.eng
dc.identifier.citationCarnaz, G., Beires Nogueira, V., Antunes, M., Ferreira, N. (2020). An Automated System for Criminal Police Reports Analysis. In: Madureira, A., Abraham, A., Gandhi, N., Silva, C., Antunes, M. (eds) Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018). SoCPaR 2018. Advances in Intelligent Systems and Computing, vol 942. Springer, Cham. https://doi.org/10.1007/978-3-030-17065-3_36.
dc.identifier.doi10.1007/978-3-030-17065-3_36
dc.identifier.eissn2194-5365
dc.identifier.isbn9783030170646
dc.identifier.isbn9783030170653
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10400.8/14344
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-030-17065-3_36
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.relation.ispartofProceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)
dc.rights.uriN/A
dc.subjectInformation fusion
dc.subjectforensics
dc.subjectETL
dc.subjectcriminal police reports
dc.titleAn Automated System for Criminal Police Reports Analysiseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2018-12
oaire.citation.conferencePlacePorto, Portugal
oaire.citation.endPage10
oaire.citation.startPage1
oaire.citation.titleAdvances in Intelligent Systems and Computing
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNameAntunes
person.givenNameMário
person.identifierR-000-NX4
person.identifier.ciencia-idAF10-7EDD-5153
person.identifier.orcid0000-0003-3448-6726
person.identifier.scopus-author-id25930820200
relation.isAuthorOfPublicatione3e87fb0-d1d6-44c3-985d-920a5560f8c1
relation.isAuthorOfPublication.latestForDiscoverye3e87fb0-d1d6-44c3-985d-920a5560f8c1

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Information Extraction (IE) and fusion are complex fields and have been useful in several domains to deal with heterogeneous data sources. Criminal police are challenged in forensics activities with the extraction, processing and interpretation of numerous documents from different types and with distinct formats (templates), such as narrative criminal reports, police databases and the result of OSINT activities, just to mention a few. Such challenges suggest, among others, to cope with and manually connect some hard to interpret meanings, such as license plates, addresses, names, slang and figures of speech. This paper aims to deal with forensic IE and fusion, thus a system was proposed to automatically extract, transform, clean, load and connect police reports that arrived from different sources. The same system aims to help police investigators to identify and correlate interesting extracted entities.
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